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Paper Citation Record · LEDGER

STEM: Unleashing the Power of Embeddings for Multi-task Recommendation

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.13537.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2308.13537 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:36:52.752962Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-11T14:21:47.972219Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 798d3bc4-5203-404c-b2c3-18b21118de86 · inbound

Towards Unifying Feature Interaction Models for Click-Through Rate Prediction cites this paper.

Towards Unifying Feature Interaction Models for Click-Through Rate Prediction STEM: Unleashing the Power of Embeddings for Multi-task Recommendation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T17:36:52.752962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:36:52.752962Z digest=sha256:fc3b6095bb94a6e830c749941e36bbc5223dd79f1e38403a5e07c7ad832102b2

Observation 0ffac2ec-35da-49fd-b715-270596f23690 · inbound

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods cites this paper.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods STEM: Unleashing the Power of Embeddings for Multi-task Recommendation

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:21:47.983105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T14:21:47.710482Z digest=sha256:7b76161dcaf6ecf8732467c75a335e54254da16adfff49ae19d0e59c9ab8a2bf